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Record W4210253082 · doi:10.1016/j.jtct.2022.02.002

Multiple Breath Washout Testing to Identify Pulmonary Chronic Graft Versus Host Disease in Children After Hematopoietic Stem Cell Transplantation

2022· article· en· W4210253082 on OpenAlexafffund
Jonathan H. Rayment, Rodrigo Sandoval, Juliana P. Roden, Kirk R. Schultz

Bibliographic record

VenueTransplantation and Cellular Therapy · 2022
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsBC Children's HospitalUniversity of British Columbia
FundersBC Children's Hospital
KeywordsMedicineSpirometryHematopoietic stem cell transplantationInterquartile rangeTransplantationGraft-versus-host diseasePediatricsPopulationInternal medicineAsthma

Abstract

fetched live from OpenAlex

Pulmonary chronic graft versus host disease (p-cGvHD) is a highly morbid, late complication of hematopoietic stem cell transplantation (HSCT). The 2014 National Institutes of Health cGvHD consensus criteria require a tissue biopsy or a drop in spirometry (with other features) to establish the diagnosis of p-cGvHD. Unfortunately, children are often incapable of performing spirometry, which can delay the diagnosis of this condition. Multiple breath washout testing (MBW) can detect abnormal pulmonary physiology in older children and adults after HSCT, but its feasibility and utility have not been assessed in younger children and in those who cannot perform spirometry. In this study, we assess the feasibility and sensitivity of MBW to detect p-cGvHD in children as young as 3 years of age after HSCT. We performed a cross-sectional analysis of children age 3 to 18 years, between 100 days and 5 years after allogenic HSCT. Participants were recruited from the HSCT population at BC Children's Hospital (Vancouver, Canada). All participants attempted nitrogen MBW, and children age 6 years and over attempted spirometry. Nonparametric statistical techniques were used; descriptive statistics used median (interquartile range [IQR]) and group medians were compared using Wilcoxon rank-sum test. Twenty-six children, median age 11.0 (range 3.6-18.5) years, were recruited a median of 26.4 (IQR 15.7, 51.8) months after HSCT. Six of the 26 children (23%) had a clinical diagnosis of p-cGvHD. MBW was successful in all (26/26, 100%) participants. The lung clearance index (LCI; the primary outcome of MBW) was higher in those with a history of p-cGvHD (median 11.8 [IQR 9.6, 18.7]) than in those with no history of cGvHD (median 7.7 [IQR 7.1, 8.0]; P = .001) or a history of extrapulmonary cGvHD (median 7.5 [IQR 6.9, 7.6], P = .007). A threshold LCI = 9 resulted in a sensitivity of 100% and specificity of 90% for the correct identification of clinically diagnosed p-cGvHD using MBW (area under the receiver operator characteristic curve is 0.97 [95% confidence interval 0.80, 0.99]). Spirometry was successful in most (17/26, 65%) participants. Similar to LCI, forced expiratory volume in 1 second (FEV1)/ forced vital capacity could distinguish between p-cGvHD and no cGvHD (P = .02) and extrapulmonary cGvHD (P = .01). FEV1 alone could not distinguish between either of these groups (P = .87, P = .24 respectively). MBW is feasible in young children after HSCT and in those who cannot perform spirometry. LCI has high discriminative power for correctly identifying p-cGvHD, but these preliminary results require confirmation in a larger validation cohort.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.278
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations24
Published2022
Admission routes2
Has abstractno

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